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Risk Premiums and Efficiency in the Market for Crude Oil Futures

Richard Deaves and Itzhak Krinsky

Year: 1992
Volume: Volume 13
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol13-No2-5
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Abstract:
The New York Mercantile Exchange's Crude Oil futures contract is investigated for the existence and nature of risk premiums and informational efficiency. During 1983-90, there is some evidence that short-term premiums were positive and covaried with recent volatility. As for efficiency, we find nothing inconsistent with weak-form efficiency, but some apparent violations cf semi-strong efficiency. We argue that, for a number of reasons, such rejections should be interpreted with caution.



Forecasting Nonlinear Crude Oil Futures Prices

Saeed Moshiri and Faezeh Foroutan

Year: 2006
Volume: Volume 27
Number: Number 4
DOI: 10.5547/ISSN0195-6574-EJ-Vol27-No4-4
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Abstract:
The movements in oil prices are very complex and, therefore, seem to be unpredictable. However, one of the main challenges facing econometric models is to forecast such seemingly unpredictable economic series. Traditional linear structural models have not been promising when used for oil price forecasting. Although linear and nonlinear time series models have performed much better in forecasting oil prices, there is still room for improvement. If the data generating process is nonlinear, applying linear models could result in large forecast errors. Model specification in nonlinear modeling, however, can be very case dependent and time-consuming.In this paper, we model and forecast daily crude oil futures prices from 1983 to 2003, listed in NYMEX, applying ARIMA and GARCH models. We then test for chaos using embedding dimension, BDS(L), Lyapunov exponent, and neural networks tests. Finally, we set up a nonlinear and flexible ANN model to forecast the series. Since the test results indicate that crude oil futures prices follow a complex nonlinear dynamic process, we expect that the ANN model will improve forecasting accuracy. A comparison of the results of the forecasts among different models confirms that this is indeed the case.



Informed Trading in the WTI Oil Futures Market

Olivier Rousse and Benoit Sevi

Year: 2019
Volume: Volume 40
Number: Number 2
DOI: 10.5547/01956574.40.2.orou
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Abstract:
The weekly release of the U.S. inventory level by the DOE-EIA is known as the market mover in the U.S. oil futures market. We uncover suspicious trading patterns in the WTI futures markets in days when the inventory level is released that are higher than market forecasts: there are significantly more orders initiated by buyers in the two hours preceding the official release of the inventory level, with a drop in the average price of -0.25% ahead of the news release. This finding is consistent with informed trading. We also provide evidence of an asymmetric response of the oil price to oil-inventory news, and highlight an over-reaction that is partly compensated in the hours following the announcement.





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